scholarly journals Assessment of Heterogeneity of Cytochrome P450 Activity in Cancer-Cell Population by Cytometry of Reaction Rate Constant is Robust to Variation in Substrate Concentration

2020 ◽  
Author(s):  
Mariana Bleker de Oliveira ◽  
Vasilij Koshkin ◽  
Christopher G. R. Perry ◽  
Sergey N. Krylov

ABSTRACTEnzymes of the cytochrome P450 (CYP) family catalyze the metabolism of chemotherapeutic agents and are among the key players in primary and acquired chemoresistance of cancer. The activity of CYP is heterogeneous in tumor tissues, and the quantitative characteristics of this heterogeneity can be used to predict chemoresistance. Cytometry of reaction rate constant (CRRC) is a kinetic approach to assess cell population heterogeneity by measuring rates of processes at the single-cell level via time-lapse imaging. CRRC was shown to be an accurate and robust method for assessing the heterogeneity of drug-extrusion activity catalyzed by ABC transporters, which are also key players in cancer chemoresistance. We hypothesized that CRRC is also a reliable method for assessing the heterogeneity of CYP activity. Here, we evaluated the robustness of assessing the heterogeneity of CYP activity by CRRC with respect to controlled variation in the concentration of a CYP substrate by comparing CRRC with non-kinetic approaches. We found that changing the substrate concentration by 20% resulted only in minimal changes in the position, width, and asymmetry of the peak in the CRRC histogram, while these parameters varied greatly in the non-kinetic histograms. Moreover, the Kolmogorov-Smirnov statistical test showed that the distribution of the cell population in CRRC histograms was not significantly different; the result was opposite for non-kinetic histograms. In conclusion, we were able to demonstrate the robustness of CRRC with respect to changes in substrate concentration when evaluating CYP activity at the single-cell level.

1995 ◽  
Vol 43 (2) ◽  
pp. 229-235 ◽  
Author(s):  
M I Affentranger ◽  
W Burkart

Both X-rays and the radiomimetic agent bleomycin (BLM) induce DNA strand breaks, predominantly via reactive radicals. To compare the induction of breaks with the two agents in Chinese hamster (CHO-K1) cells, two different alkaline unwinding methods, a 3H tracer-based analysis of large cell populations and an optical adaption allowing measurement of single cells, were applied. Radiation and BLM show qualitatively similar dose responses when the average number of DNA strand breaks is measured in a large cell population. However, the breakage pattern at the single-cell level indicates large discrepancies between the actions of the two agents. Irradiated cells show a uniform distribution of DNA strand breaks over the cell population. Effects of treatment with 30 micrograms x ml-1 BLM for 2 hr vary from practically zero in some cells to high levels of DNA strand breakage in others. Unlike the repair of radiation-induced DNA breaks, the repair efficiency of BLM-induced DNA strand breaks, as measured at the single-cell level, varies strongly among cells of the same population. Such heterogeneity at the cellular level potentially reduces BLM's usefulness for tumor therapy because the appearance of BLM-resistant subpopulations may critically impair treatment outcome.


2019 ◽  
Author(s):  
Vasilij Koshkin ◽  
Sven Kochmann ◽  
Apinaya Sorupanathan ◽  
Chun Peng ◽  
Laurie E. Ailles ◽  
...  

We propose Cytometry of Reaction Rate Constant (CRRC) for accurate analysis of cell-population heterogeneity with respect to a specific molecular reaction. Conceptually, in CRRC, the cells are loaded with a reaction substrate, and its conversion into a product is followed by time-lapse fluorescence microscopy at the single-cell level. A reaction rate constant is determined for every cell by using a known kinetic mechanism of the reaction, and a kinetic histogram “number of cells vs. the rate constant” is built. Finally, this histogram is used to determine parameters of reaction-based cell-population heterogeneity. Here, we studied a reaction of substrate extrusion from cells by ABC transporters. We proved that sizes of subpopulations with different extrusion rates could be accurately determined from the kinetic histogram, and this determination was not significantly affected by change in substrate concentration. We foresee that CRRC will facilitate the development of reliable disease biomarkers based on parameters of reaction-based cell-population heterogeneity.


2020 ◽  
Author(s):  
Vasilij Koshkin ◽  
Mariana Bleker de Oliveira ◽  
Sven Kochmann ◽  
Chun Peng ◽  
Sergey N. Krylov

ABSTRACTCytometry of reaction rate constant (CRRC) is an accurate and robust approach to characterize cell-population heterogeneity using rate constants of cellular processes for which kinetic mechanisms are known. We work on a CRRC-based method to develop predictors of tumor chemoresistance driven by two processes: drug extrusion by multi-drug-resistance (MDR) transporters and drug inactivation by cytochrome-P450 enzymes (CYP). Each of the two possess is studied with its specific substrate and the process activity is characterized by a corresponding unimolecular rate constant. Due to the incompatibility of MDR and CYP assays, MDR and CYP activities may be difficult to measure simultaneously suggesting that they may need to be measured sequentially. The sequential measurements may also impose a problem: the results of the second assay may be affected by artifacts exerted by the first assay. The goal of this work was to understand whether the cells have a memory of the first assay that significantly affects the results of the second assay. To achieve this goal, we compared CRRC results for two orders of sequential measurements: the MDR→CYP order in which MDR activity is measured before CYP activity and the CYP→MDR order in which CYP activity is measured before MDR activity. It was found that the results of the CYP assay were similar in both orders; on the contrary, the results of the MDR assay were significantly different. Our findings suggest that MDR and CYP activity can be studied sequentially provided that MDR activity is measured first and CYP activity second.


2018 ◽  
Author(s):  
Vasilij Koshkin ◽  
Sven Kochmann ◽  
Apinaya Sorupanathan ◽  
Chun Peng ◽  
Laurie E. Ailles ◽  
...  

We propose Cytometry of Reaction Rate Constant (CRRC) for accurate analysis of cell-population heterogeneity with respect to a specific molecular reaction. Conceptually, in CRRC, the cells are loaded with a reaction substrate, and its conversion into a product is followed by time-lapse fluorescence microscopy at the single-cell level. A reaction rate constant is determined for every cell by using a known kinetic mechanism of the reaction, and a kinetic histogram “number of cells vs. the rate constant” is built. Finally, this histogram is used to determine parameters of reaction-based cell-population heterogeneity. Here, we studied a reaction of substrate extrusion from cells by ABC transporters. We proved that sizes of subpopulations with different extrusion rates could be accurately determined from the kinetic histogram, and this determination was not significantly affected by change in substrate concentration. We foresee that CRRC will facilitate the development of reliable disease biomarkers based on parameters of reaction-based cell-population heterogeneity.


2019 ◽  
Author(s):  
Vasilij Koshkin ◽  
Sven Kochmann ◽  
Apinaya Sorupanathan ◽  
Chun Peng ◽  
Laurie E. Ailles ◽  
...  

We propose Cytometry of Reaction Rate Constant (CRRC) for accurate analysis of cell-population heterogeneity with respect to a specific molecular reaction. Conceptually, in CRRC, the cells are loaded with a reaction substrate, and its conversion into a product is followed by time-lapse fluorescence microscopy at the single-cell level. A reaction rate constant is determined for every cell by using a known kinetic mechanism of the reaction, and a kinetic histogram “number of cells vs. the rate constant” is built. Finally, this histogram is used to determine parameters of reaction-based cell-population heterogeneity. Here, we studied a reaction of substrate extrusion from cells by ABC transporters. We proved that sizes of subpopulations with different extrusion rates could be accurately determined from the kinetic histogram, and this determination was not significantly affected by change in substrate concentration. We foresee that CRRC will facilitate the development of reliable disease biomarkers based on parameters of reaction-based cell-population heterogeneity.


Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 1761-1761
Author(s):  
Daniela Cilloni ◽  
Valentina Rosso ◽  
Davide Torti ◽  
Francesca Carnuccio ◽  
Anna Serra ◽  
...  

Abstract Abstract 1761 Background: Mutation(s) of the JAK2 gene (V617F) has been described in a significant proportion of Philadelphia negative MPN patients and its detection is now a cornerstone in the diagnostic algorithm. The method most frequently used for measuring the distribution of cell populations is based on JAK2 sequencing and Q-PCR. Therefore the chance of distinguishing the JAK2 wild type or mutated population at the single-cell level still represents a challenge. The aim of the study was to developed a novel assay based on peptide nucleic acid (PNA) technology coupled to immuno-fluorescence microscopy (PNA-FISH) for the specific detection at a single cell level of JAK2-mutation thus improving both the diagnostic resolution and the study of clonal prevalence. Methods: We designed a fluorescently-labelled PNA probe, coupled to FISH technology, which allows to distinguish with a high degree of specificity between CD34+ progenitor stem cells harbouring the mutated (V617F) or the wild type form of JAK2. CD34+ cells were enriched from 24 PV patients (5 of them were selected for the absence of JAK2V617F), 13 PMF (10 with the mutation and 3 JAK2 wild type) and 6 ET patients (2 of them were wild type). In addition 20 BM samples were collected from healthy donors and used as control. Patients were a priori found to be either positive or negative for the JAK2V617F mutation by standard sequencing and by Q-PCR. CD34+ progenitors cells were enriched by MACS and then cytospun onto slides and hybridized with human species-specific fluorescinated 15 base pairs (bp)-long oligo-PNA, specifically recognizing the human JAK2 sequence surrounding the nucleotide at position 1849, which is responsible for the V617F substitution (JAK2V617F/PNA). Slides were analyzed by fluorescence confocal microscopy. Results: The analysis revealed that among JAK2V617F PV patients the distribution pattern is fairly similar to that reported by Scott and colleagues in 2006 analyzing JAK2V617F in colonies. We found, with a rather wide variability occurring among patients, a percentage of mutated CD34+ cells ranging from 40% to 100% in PV patients, from 15% to 80% in ET and from 25% to 100% in PMF. These findings are in agreement with previous data reporting that a variable proportion of progenitors from patients affected by JAK2V617F positive PV are capable of generating JAK2V617F negative colonies. In addition these data indicate that fluorescinated JAK2V617F/PNA probe displays a very high specificity towards a single base-pair mismatch. Interestingly, when evaluating the presence of JAK2V617Fpositive cells collected from 3 JAK2 wild type subjects defined by sequencing and by Q-PCR, we identified a small percentage of cells positive for the JAK2V617F/PNA staining. However, this apply only to patients with PV but not to PMF and ET patients. Quantitatively, this percentage did not exceed 3% of the CD34+ cell population indicating a high level of sensitivity of the procedure since the PNA/FISH technique may detect JAK2V617F-positive cells within a CD34+ population isolated from patients reported as JAK2V617Fnegative by standard approaches. Importantly, the lack of positivity detected in CD34 positive cells from 20 healthy subjects demonstrates a high specificity of this method. Conclusions: JAK2V617F/PNA-FISH method displays high specificity and reliability in discriminating cell subpopulations harbouring the JAK2V617F mutation. In addition, it allows to analyze the CD34+ population at the single cell level, avoiding the time consuming analysis of hematopoietic colonies. In addition, this approach allows to monitor longitudinally the evolution of a defined cell population over time in MPNs and the characterization of the CD34+ compartment in patients with MPNs which still represents a challenging issue. Disclosures: No relevant conflicts of interest to declare.


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